Community food webs
data and theory
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Author
Contributions
- Briand, Frédéric. - Contributor
- Newman, Charles M. - Contributor
Publication
1990 - Springer-Verlag, Berlin
Language
English
Word Count
77,000 words, Guess
Page Count
308 pages
Identifiers
- Internet Archivecommunityfoodweb0000cohe
- Internet Archivecommunityfoodweb0000cohe_e5l0
- ISBN-100387511296
- ISBN-139780387511290
- Library of Congress Control Number89021657
and 3 more
- OCLC Control Number20221613
- Better World Books9780387511290
- Open LibraryOL2200081M
Classifications
- DDC574.5/3
- LCCQH541.15.M3 C63 1990
- LCCQH541.15.M3C63 1990
Description
Food webs hold a central place in ecology. They describe which organisms feed on which others in natural habitats. This book describes recently discovered empirical regularities in real food webs: it proposes a novel theory unifying many of these regularities, as well as extensive empirical data. After a general introduction, reviewing the empirical and theoretical discoveries about food webs, the second portion of the book shows that community food webs obey several striking phenomenological regularities. Some of these unify, regardless of habitat. Others differentiate, showing that habitat significantly influences structure. The third portion of the book presents a theoretical analysis of some of the unifying empirical regularities. The fourth portion of the book presents 13 community food webs. Collected from scattered sources and carefully edited, they are the empirical basis for the results in the volume. The largest available set of data on community food webs provides a valuable foundation for future studies of community food webs. The book is intended for graduate students, teachers and researchers primarily in ecology. The theoretical portions of the book provide materials useful to teachers of applied combinatorics, in particular, random graphs. Researchers in random graphs will find here unsolved mathematical problems.
Subjects
Topics
Series Statement
- Biomathematics ;
- v. 20
Other Editions
- Community food webs: data and theory
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